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Cao Z, Luan K, Zhou P, Shen W, Wang Z, Zhu W, Qiu Z, Wang J. Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean. TOXICS 2023; 11:813. [PMID: 37888664 PMCID: PMC10611072 DOI: 10.3390/toxics11100813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 09/22/2023] [Accepted: 09/23/2023] [Indexed: 10/28/2023]
Abstract
The atmosphere over the ocean is an important research field that involves multiple aspects such as climate change, atmospheric pollution, weather forecasting, and marine ecosystems. It is of great significance for global sustainable development. Satellites provide a wide range of measurements of marine aerosol optical properties and are very important to the study of aerosol characteristics over the ocean. In this study, aerosol optical depth (AOD) data from seventeen AERONET (Aerosol Robotic Network) stations were used as benchmark data to comprehensively evaluate the data accuracy of six aerosol optical thickness products from 2013 to 2020, including MODIS (Moderate-resolution Imaging Spectrometer), VIIRS (Visible Infrared Imaging Radiometer Suite), MISR (Multi-Angle Imaging Spectrometer), OMAERO (OMI/Aura Multi-wavelength algorithm), OMAERUV (OMI/Aura Near UV algorithm), and CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) in the East Asian Ocean. In the East Asia Sea, VIIRS AOD products generally have a higher correlation coefficient (R), expected error within ratio (EE within), lower root mean square error (RMSE), and median bias (MB) than MODIS AOD products. The retrieval accuracy of AOD data from VIIRS is the highest in spring. MISR showed a higher EE than other products in the East Asian Ocean but also exhibited systematic underestimation. In most cases, the OMAERUV AOD product data are of better quality than OMAERO, and OMAERO overestimates AOD throughout the year. The CALIPSO AOD product showed an apparent underestimation of the AOD in different seasons (EE Below = 58.98%), but when the AOD range is small (0 < AOD < 0.1), the CALIPSO data accuracy is higher compared with other satellite products under small AOD range. In the South China Sea, VIIRS has higher data accuracy than MISR, while in the Bohai-Yellow Sea, East China Sea, Sea of Japan, and the western Pacific Ocean, MISR has the best data accuracy. MODIS and VIIRS show similar trends in R, EE within, MB, and RMSE under the influence of AOD, Angstrom exponent (AE), and precipitable water. The study on the temporal and spatial distribution of AOD in the East Asian Ocean shows that the annual variation of AOD is different in different sea areas, and the ocean in the coastal area is greatly affected by land-based pollution. In contrast, the AOD values in the offshore areas are lower, and the aerosol type is mainly clean marine type aerosol. These findings can help researchers in the East Asian Ocean choose the most accurate and reliable satellite AOD data product to better study atmospheric aerosols' impact and trends.
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Affiliation(s)
- Zhaoxiang Cao
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
| | - Kuifeng Luan
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
- Estuarine and Oceanographic Mapping Engineering Research Center of Shanghai, Shanghai 200123, China
| | - Peng Zhou
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
- State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
| | - Wei Shen
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
- Estuarine and Oceanographic Mapping Engineering Research Center of Shanghai, Shanghai 200123, China
| | - Zhenhua Wang
- College of Information Science, Shanghai Ocean University, Shanghai 201306, China
| | - Weidong Zhu
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
- Estuarine and Oceanographic Mapping Engineering Research Center of Shanghai, Shanghai 200123, China
| | - Zhenge Qiu
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
- Estuarine and Oceanographic Mapping Engineering Research Center of Shanghai, Shanghai 200123, China
| | - Jie Wang
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
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Analysis and Variation of the Maiac Aerosol Optical Depth in Underexplored Urbanized Area of National Capital Region, India. JOURNAL OF LANDSCAPE ECOLOGY 2022. [DOI: 10.2478/jlecol-2022-0019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Abstract
Aerosol monitoring is the emerging application field of satellite remote sensing. As a satellite-based indicator of aerosol concentration, aerosol optical depth (AOD) can aid in assessing the crucial effects of aerosols on the global environment. Among various satellite-based aerosol product, Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 (C6), Multiangle Implementation of Atmospheric Correction (MAIAC) aerosol product (1 km resolution) has still untapped potential in Indian regions. Considering the importance of regional validation of such high-resolution aerosol product, the present study attempts to fill this gap by validating MAIAC aerosol estimates (AODMAIAC) in highly polluted districts (Faridabad, Ghaziabad, Gautam Budh Nagar, Gurugram) of National Capital Region (NCR) with heavy aerosol loading using limited AErosol RObotic NETwork (AERONET) observations obtained from AERONET sites at Amity University (AU) and Gual Pahari (GP). Such evaluation of satellite-retrieved aerosol product with ground data confirms its practicality based on retrieval errors (Expected Error (EE) values (EE = 0.05 + 15 %*AOD) (EE: 78.85 % at AU, 73.58 % at GP), root mean square error (RMSE) values (RMSE: 0.15 at AU, 0.24 at GP), and correlation coefficient (R) values (R: 0.86 at AU, 0.73 at GP). The seasonal variation in AOD over the study area from 2010-2019 reveals increasing trend of AOD in the monsoon and post-monsoon season due to natural and anthropogenic factors. In addition to contributing to a holistic assessment of MAIAC aerosol estimates as a recent, high-resolution aerosol product, present results provide a basis for further research into NCR aerosols.
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Ma X, Ding Y, Shi H, Yan W, Dou X, Ochege FU, Luo G, Zhao C. Spatiotemporal variations in aerosol optical depth and associated risks for populations in the arid region of Central Asia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 816:151558. [PMID: 34762952 DOI: 10.1016/j.scitotenv.2021.151558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/22/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
Abstract
With the progress of urbanization, atmospheric pollution and physical health issues caused by the increase of aerosol optical depth (AOD) become more and more prominent. Hence, population exposure risk to AOD becomes a research hotspot. The arid Central Asia (ACA) has a generally high AOD and is a major source area for dust aerosols in the world. Only few studies have discussed population exposure risk to AOD in ACA. Based on multisource remote sensing data, and used population exposure risk model, this study evaluated population exposure risk to AOD in six ecological zones (Northern steppe region of ACA (NSCA), Aral Sea desert area (ASDA), Tianshan Mountains (TSMT), Junggar Basin desert area (JBDA), Tarim Basin desert area (TBDA) and Hexi corridor desert area (HCDA)). Generally, AOD in ACA was kept increasing from 2000 to 2015, and it increased mostly in HCDA and areas near the Aral Sea (p < 0.001). With respect to seasonal variations, the maximum AOD was observed in spring and autumn, and the minimum was in winter. Considering land use changes, AOD was mainly manifested by the reduction of water bodies and expansion of construction lands. This was the mostly significant in NSCA and ASDA (p < 0.01). The population exposure risk to AOD in ACA was increasing continuously from 2000 to 2015, and high-value regions (>9) concentrated in oases, specifically, in the Aral Sea basin and Tarim River basin.The Aral Sea basin became the major AOD source region in ACA due to the shrinking water area after unreasonable development and utilization of water resources. These further increase population exposure risk to AOD in the Aral Sea area. Hence, ecological restoration in terminal lakes of ACA will become the key to lower population exposure risk to AOD practically.
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Affiliation(s)
- Xiaofei Ma
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; Research Centre for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium and Urumqi, China.
| | - Yu Ding
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haiyang Shi
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; Research Centre for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; Department of Geography, Ghent University, Ghent 9000, Belgium; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Yan
- School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
| | - Xin Dou
- School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Friday Uchenna Ochege
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; Research Centre for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium and Urumqi, China
| | - Geping Luo
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; Research Centre for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China; Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium and Urumqi, China
| | - Chengyi Zhao
- School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Deep A, Pandey CP, Nandan H, Singh N, Yadav G, Joshi PC, Purohit KD, Bhatt SC. Aerosols optical depth and Ångström exponent over different regions in Garhwal Himalaya, India. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:324. [PMID: 33948733 PMCID: PMC8096143 DOI: 10.1007/s10661-021-09048-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 04/04/2021] [Indexed: 06/12/2023]
Abstract
Aerosol optical depth (AOD) and Ångström exponent (AE) are observed to be important parameters in understanding the status of ambient aerosol concentration over a particular location and depend not only upon the local but also on the large-scale dynamics of the atmosphere. The present article analyses the AOD and AE parameters retrieved with Moderate Resolution Imaging Spectrometer (MODIS) and Multi-angle Imaging Spectro-Radiometer (MISR) instruments onboard satellites, for the upper (Chamoli) and foothill (Dehradun) regions of Garhwal Himalaya in Uttarakhand, India, from 2006 to 2015. Aerosol properties are investigated at monthly, seasonal, and annual scales. The monthly mean values of MODIS-derived AOD and AE were observed to be 0.18 (± 0.14) and 1.05 (± 0.43) respectively over the Dehradun region. The seasonal maximums in AOD with MODIS and MISR were observed as 0.23 ± 0.06 and 0.29 ± 0.07 respectively in the pre-monsoon season, and the minimum values (0.099 ± 0.02) were observed in the post-monsoon season, over the Dehradun region. In contrast, in the Chamoli region, the maximum AOD (MODIS) was 0.21 ± 0.06 observed in the monsoon season and the minimum was 0.036 ± 0.007 in the post-monsoon season. Over a decade, the AE for Chamoli and Dehradun was found to vary from 0.07 to 0.17 and from 0.14 to 0.20 respectively. The median AE for Chamoli and Dehradun was found to be 1.49 and 1.47 respectively, marking the dominance of fine mode particles of anthropogenic origin. Observations show the presence of dust and polluted dust resulting from the long-range transport from the west. The comparison of AOD values from the two sensors shows a significant correlation (0.73) with slightly higher values from MISR over the year. The results obtained are important in understanding the climatic implications due to the atmospheric aerosols over the abovementioned Himalayan region of Uttarakhand, India.
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Affiliation(s)
- Amar Deep
- Department of Physics, H N B University, Garhwal (A Central University), 246174 Srinagar, Uttarakhand, India
| | - Chhavi Pant Pandey
- Wadia Institute of Himalaya Geology, 33 GMS Road, Dehradun, 248001 Uttarakhand, India.
| | - Hemwati Nandan
- Department of Physics and, Dept. of Environmental Sciences, Gurukula Kangri (Deemed to be University), Haridwar, 249404 Uttarakhand, India
| | - Narendra Singh
- Aryabhatta Research Institute of Observational Sciences, Manora Peak, Nainital, 263001 Uttarakhand, India
| | - Garima Yadav
- Department of Physics, H N B University, Garhwal (A Central University), 246174 Srinagar, Uttarakhand, India
| | - P C Joshi
- Department of Physics and, Dept. of Environmental Sciences, Gurukula Kangri (Deemed to be University), Haridwar, 249404 Uttarakhand, India
| | - K D Purohit
- Department of Physics, H N B University, Garhwal (A Central University), 246174 Srinagar, Uttarakhand, India
| | - S C Bhatt
- Department of Physics, H N B University, Garhwal (A Central University), 246174 Srinagar, Uttarakhand, India
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Khalid B, Khalid A, Muslim S, Habib A, Khan K, Alvim DS, Shakoor S, Mustafa S, Zaheer S, Zoon M, Khan AH, Ilyas S, Chen B. Estimation of aerosol optical depth in relation to meteorological parameters over eastern and western routes of China Pakistan economic corridor. J Environ Sci (China) 2021; 99:28-39. [PMID: 33183707 DOI: 10.1016/j.jes.2020.04.045] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 04/28/2020] [Accepted: 04/28/2020] [Indexed: 06/11/2023]
Abstract
This study finds out seasonal and monthly variations in Aerosol Optical Depth (AOD) over eastern and western routes of China Pakistan Economic Corridor (CPEC) and the relationship between AOD and meteorological parameters (i.e., temperature, rainfall and wind speed). The Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging Spectroradiometer (MISR) data was used from the terra satellite for the period of 2000-2016. This study aims to overtake the conventional view of the purpose of using the satellite datasets. This study takes on to the concept that validated satellite data sets rather should be used for the analysis instead of just validation specifically for our study region. Hence, after comparing MODIS AOD with MISR AOD, only MISR AOD dataset is used for further analysis. The results show a decreasing trend of AOD in summer season, a positive relationship between temperature and AOD during winter and spring seasons whereas a positive relationship between wind speed and AOD in winter and spring seasons over eastern and western routes. Periodic analysis of MODIS AOD and MISR AOD depicts May-Aug as the peak period of aerosol concentration over central Pakistan. The inter-annual analysis shows the aerosol trend remained higher during summer season however rainfall shows the washout effect. Eastern route has higher standard deviation and larger values for aerosol prevalence as compared to western route. The trajectory analysis using the HYSPLIT model suggests the bias of air mass trajectory caused deviation in the aerosol trend in the year 2014.
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Affiliation(s)
- Bushra Khalid
- Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049 China; Department of Environmental Science, International Islamic University, Islamabad, Pakistan; The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy.
| | - Ayesha Khalid
- Department of Environmental Science, International Islamic University, Islamabad, Pakistan
| | - Sidra Muslim
- Department of Environmental Science, International Islamic University, Islamabad, Pakistan
| | - Ammara Habib
- University of Chinese Academy of Sciences, Beijing 100049 China; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Kishwar Khan
- Competition Commission of Pakistan, Islamabad, Pakistan
| | - Debora Souza Alvim
- Center of Natural Sciences and Humanities, Federal University of ABC, Santo André, SP, Brazil
| | - Sehrish Shakoor
- Department of Environmental Science, International Islamic University, Islamabad, Pakistan
| | - Sonia Mustafa
- Department of Environmental Science, International Islamic University, Islamabad, Pakistan
| | - Sana Zaheer
- Department of Environmental Science, International Islamic University, Islamabad, Pakistan
| | - Momel Zoon
- Department of Environmental Science, International Islamic University, Islamabad, Pakistan
| | | | - Sana Ilyas
- University of Chinese Academy of Sciences, Beijing 100049 China; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Bin Chen
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China.
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Liu J, Ding J, Li L, Li X, Zhang Z, Ran S, Ge X, Zhang J, Wang J. Characteristics of aerosol optical depth over land types in central Asia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 727:138676. [PMID: 32498186 DOI: 10.1016/j.scitotenv.2020.138676] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 04/11/2020] [Accepted: 04/11/2020] [Indexed: 06/11/2023]
Abstract
Aerosols are an important contributor to global atmospheric changes and have critical effects on the climate system. Regionally, aerosols in central Asia comprise a significant portion of global aerosols. Based on aerosol optical depth (AOD)Level 2 daily product data and land cover type product data, the long-term AOD characteristics of six major land use/cover types and their relationships with landscape metrics are discussed. Contribution analysis is applied to quantitatively estimate the effects of land use/cover on regional AOD over central Asia. The results show that series of daily AODs over six land uses/covers display remarkable annual cyclic variations and obvious seasonal changes. The annual average AODs for barren land and cropland are highest, followed by regional AODs. There are different frequencies and times of occurrence for high AOD values of various land types. Urban areas are one of the major contributors to the regional atmosphere in winter; grasslands have a great influence on regional AOD decreases. Barren land always has a high contribution to the regional AOD. The land use types affected by anthropogenic activities were smaller contributors to regional aerosols than barren lands affected by climate factors. This paper advances the understanding of relationship between aerosols and land use/cover and facilitates land use decision making.
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Affiliation(s)
- Jie Liu
- Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
| | - Jianli Ding
- Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China.
| | - Liang Li
- Xinjiang Water Conservancy and Hydropower School, Urumqi 830013, China
| | - Xiaohang Li
- Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
| | - Zhe Zhang
- Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
| | - Si Ran
- Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
| | - Xiangyu Ge
- Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
| | - Junyong Zhang
- Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
| | - Jingzhe Wang
- Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China; Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
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Aerosol Optical Thickness over Large Urban Environments of the Arabian Peninsula—Speciation, Variability, and Distributions. ATMOSPHERE 2019. [DOI: 10.3390/atmos10050228] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The Arabian Peninsula is one of the world’s largest sources of mineral dust that includes several major population hotspots. However, until now, few studies have performed a comprehensive quantification of the long-term variability of aerosol species in this region. In this study, the speciation, variability, and distribution of aerosol optical depth over the Arabian Peninsula during 2005–2015 is analyzed by using the modern-era retrospective analysis for research and applications, Version 2 (MERRA-2) model together with satellite retrieved data and AERONET observations and focusing on nine large cities in the region (Dammam, Doha, Dubai, Jeddah, Kuwait, Manama, Muscat, Riyadh, and Sanaa). Over the past decade, the mean annual aerosol optical thickness (AOT) values were in the range of 0.3–0.5, which is attributed to both mineral dust (60–70%) and anthropogenic activities (20–30%). An increase in AOT values between 2005 and 2009 is attributed to increased dust generation from the Sahel region in Northern Africa, and the Fertile Crescent (Syria, Iraq, Jordan) due to an extended dry period. Reductions in local urban emissions are still considered to be efficient measures to improve air quality in these population centers despite the significant contribution of desert dust in the total particulate matter levels in the region.
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